Abstract: Balloon catheters for delivery of prosthetic hear valves are provided. The balloon catheters are configured to deploy a prosthetic heart valve through inflation. The balloon catheters are further configured with one or more retention bumpers to reduce or prevent migration of the prosthetic heart valve during delivery. Balloon catheters described herein are configured with substantially incompressible retention bumpers that promote longitudinal inflation fluid flow.

Abstract: Balloon catheters for delivery of prosthetic hear valves are provided. The balloon catheters are configured to deploy a prosthetic heart valve through inflation. The balloon catheters are further configured with one or more retention bumpers to reduce or prevent migration of the prosthetic heart valve during delivery. Balloon catheters described herein are configured with substantially incompressible retention bumpers that promote longitudinal inflation fluid flow.

Abstract: Methods and an expert system for processing a plurality of inputs collected from sensors in an industrial environment are disclosed. A modular neural network, where the expert system uses one type of neural network for recognizing a pattern relating to at least one of: the sensors, components of the industrial environment and a different neural network for self-organizing a data collection activity in the industrial environment is disclosed. A data communication network configured to communicate at least a portion of the plurality of inputs collected from the sensors to storage device is also disclosed.

Abstract: A system and method for data collection and frequency analysis with self-organization functionality includes analyzing with a processor a plurality of sensor inputs, sampling with the processor data received from at least one of the plurality of sensor inputs at a first frequency, and self-organizing with the processor a selection operation of the plurality of sensor inputs.

Abstract: System and methods for learning data patterns predictive of an outcome are described. An example system may include a plurality of input sensors communicatively coupled to a controller; a data collection circuit structured to collect output data from the plurality of input sensors; and a machine learning data analysis circuit structured to receive the output data, learn received output data patterns indicative of an outcome, and learn a preferred input data collection band among a plurality of available input data collection bands. The machine learning data analysis circuit may be structured to learn received output data patterns by being seeded with a model based on industry-specific feedback. The outcome may be at least one of: a reaction rate, a production volume, or a required maintenance.

Abstract: Systems, methods and apparatus for modifying a data collection trajectory for conveyors are described. An example system may include a data acquisition circuit to interpret a plurality of detection values, each corresponding to at least one of a plurality of input sensors communicatively coupled to the data acquisition circuit. The system may further include a data storage circuit to store specifications and anticipated state information for a plurality of conveyor types and an analysis circuit to analyze the plurality of detection values relative to specifications and anticipated state information to determine a conveyor performance parameter. A response circuit may initiate an action in response to the conveyor performance parameter.

Abstract: The present disclosure is directed to a composite structure comprising at least one reinforced polymer layer comprising a reinforcing material; a layer comprising a metal substrate comprising a surface and a conformal organic coating present on at least a portion of the surface; wherein the layer comprising the metal substrate is in direct contact with the reinforced polymer layer, and the reinforcing material is more noble than the metal substrate. Also disclosed is a method of making a composite structure, a surfacing film, and a test method for evaluating the galvanic corrosion resistance of a metal substrate test piece.

Abstract: Systems for self-organizing collection and storage in a distribution environment are disclosed. A system may include a data collector for handling a plurality of sensor inputs from sensors in the distribution environment, wherein the sensor inputs sense at least one of an operational mode, a fault mode, a maintenance mode, or a health status of at least one target system selected from a group consisting of a power system, a conveyor system, a robotic transport system, a robotic handling system, a packing system, a cold storage system, a hot storage system, a refrigeration system, a vacuum system, a hauling system, a lifting system, an inspection system, and a suspension system. A system may further include a self-organizing system for: a storage operation of the data, a data collection operation, or a selection operation.

Abstract: In some embodiments, a monitoring system for an industrial environment includes a data collector structured to collect data from at least one of a plurality of sensors, an expert system configured to analyze the collected data and generate a corresponding heat map, and a heat map interface to provide the heat map to an AR/VR device, wherein the heat map overlays a view of the underlying sensors, and wherein the data collector is further configured to collect user data, representative of a behavior of the user, from the AR/VR device.

Abstract: Methods and an expert system for processing a plurality of inputs collected from sensors in an industrial environment are disclosed. A modular neural network, where the expert system uses one type of neural network for recognizing a pattern relating to at least one of: the sensors, components of the industrial environment and a different neural network for self-organizing a data collection activity in the industrial environment is disclosed. A data communication network configured to communicate at least a portion of the plurality of inputs collected from the sensors to storage device is also disclosed.

Abstract: A self-standing foldable composite container apparatus comprises, preferably, a vertical cuboid body, namely having the shape of a square prism, rectangular prism, or cube. The container apparatus may be made from one or a plurality of layers of woven polymeric material, further having plastic inserts therein to maintain the shape thereof, reinforce the sides thereof, and further allow the containers to self-stand. The top and bottom of the container apparatus may comprise covers that may be relatively flat, the top cover having a flap openable by one or more zippers and having at least a pair of lifting loops for lifting the same with a forklift or other like lifting mechanism. Methods of using the same are further provided.

Abstract: A tarp apparatus includes a bendable and foldable heavy duty tarp designed to cover the exposed end of receiver boxes and waste haulers to keep refuse in during transit. The tarp apparatus folds for easy storage, is made of heavy duty geotextile or any pliable material, and is reinforced with webbing for strength, with grommets and loops for additional attachment points. In addition, attached webbing and hooks easily secure the tarp apparatus to receiver boxes and/or waste hauler trucks while attached cam buckles or ratchets tight the tarp apparatus securely to the receiver boxes and/or waste haulers.

Abstract: Adhesive compositions are described that are suitable for securing building materials, such as TPO membrane roofing to a structural element, such as a roof deck. The adhesive compositions are very high-solids, wet-set adhesives that provide a peel strength that meets or exceeds industry standards, while requiring application to only one of two surfaces to be joined. The adhesive compositions comprise a liquid modifier with hydroxyl functionality, a chlorinated polyolefin and a silylated polymer. Methods of use are also disclosed.

Abstract: Systems for self-organizing data collection and storage in a manufacturing environment are disclosed. A system may include a data collector for handling a plurality of sensor inputs from sensors in the manufacturing system, wherein the plurality of sensor inputs is configured to sense at least one of: an operational mode, a fault mode, a maintenance mode, or a health status of at least one target system. The system may also include a self-organizing system for self-organizing a storage operation of the data, a data collection operation of the sensors, or a selection operation of the plurality of sensor inputs. The self-organizing system may organize a swarm of mobile data collectors to collect data from a plurality of target systems.

Abstract: Methods and systems for a monitoring system for data collection in an industrial environment including a data collector communicatively coupled to a plurality of input channels connected to data collection points related to machine components, wherein at least one of the plurality of input channels is connected to a data collection point on a rotating machine component; a data acquisition circuit structured to interpret a plurality of detection values from the collected data, each of the plurality of detection values corresponding to at least one of the plurality of input channels; and an expert system analysis circuit structured to analyze the collected data, wherein the expert system analysis circuit determines a failure state for the rotating machine component based on analysis of the plurality of detection values, wherein upon determining the failure state the expert system analysis circuit provides the failure state to a data storage.

Abstract: Systems for self-organizing data collection and storage in a manufacturing environment are disclosed. A system may include a data collector for handling a plurality of sensor inputs from sensors in the manufacturing system, wherein the plurality of sensor inputs is configured to sense at least one of: an operational mode, a fault mode, a maintenance mode, or a health status of at least one target system. The system may also include a self-organizing system for self-organizing a storage operation of the data, a data collection operation of the sensors, or a selection operation of the plurality of sensor inputs. The self-organizing system may organize a swarm of mobile data collectors to collect data from a plurality of target systems.

Abstract: Systems and methods for data collection in an industrial environment are disclosed. An expert graphical user interface showing representations of components of an industrial machine to which sensors are attach is disclosed. The user interface may enable a user to select at least one of the components resulting in a search of a database of industrial machine failure modes for modes that correspond to the selected component. The corresponding failure mode may be presented to the user. The selection of the component may cause a controller to reference and implement a data collection template for configuring the system to automatically collect data from sensors associated with the selected component to detect at least one of the corresponding failure modes.

Abstract: Monitoring, systems and methods for data collection in an industrial environment are disclosed. A system may include a data collector communicatively coupled to a plurality of input channels and to a network infrastructure, wherein the data collector collects data based on a selected data collection routine, a data storage structured to store a plurality of collector routes and collected data, a data acquisition circuit structured to interpret a plurality of detection values from the collected data, and a data analysis circuit structured to analyze the collected data, and sense a change in operation and determine an aggregate rate of data being collected from the plurality of input channels. If the aggregate rate exceeds a throughput parameter the data analysis circuit alters the data collection to reduce the amount of data collected or, based on the sensed change, modify a collector route.

Abstract: Systems for self-organizing data collection and storage in a manufacturing environment are disclosed. A system may include a data collector for handling a plurality of sensor inputs from sensors in the manufacturing system, wherein the plurality of sensor inputs is configured to sense at least one of: an operational mode, a fault mode, a maintenance mode, or a health status of at least one target system. The system may also include a self-organizing system for self-organizing a storage operation of the data, a data collection operation of the sensors, or a selection operation of the plurality of sensor inputs. The self-organizing system may organize a swarm of mobile data collectors to collect data from a plurality of target systems.

Abstract: Systems, methods and apparatus for modifying a data collection trajectory for centrifuges are described. An example system may include a data acquisition circuit to interpret a plurality of detection values, each corresponding to at least one of a plurality of input sensors communicatively coupled to the data acquisition circuit. The system may further include a data storage circuit to store specifications and anticipated state information for a plurality of centrifuge types and an analysis circuit to analyze the plurality of detection values relative to specifications and anticipated state information to determine a centrifuge performance parameter. A response circuit may initiate an action in response to the centrifuge performance parameter.